A decade ago, the Gene Expression Omnibus (GEO) database was established at the National Center for Biotechnology Information (NCBI). The original objective of GEO was to serve as a public repository for high-throughput gene expression data generated mostly by microarray technology. However, the research community quickly applied microarrays to non-gene-expression studies, including examination of genome copy number variation and genome-wide profiling of DNA-binding proteins. Because the GEO database was designed with a flexible structure, it was possible to quickly adapt the repository to store these data types. More recently, as the microarray community switches to next-generation sequencing technologies, GEO has again adapted to host these data sets. Today, GEO stores over 20 000 microarray- and sequence-based functional genomics studies, and continues to handle the majority of direct high-throughput data submissions from the research community. Multiple mechanisms are provided to help users effectively search, browse, download and visualize the data at the level of individual genes or entire studies. This paper describes recent database enhancements, including new search and data representation tools, as well as a brief review of how the community uses GEO data. GEO is freely accessible at http://www.ncbi.nlm.nih.gov/geo/.
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Univ Rennes 1, CNRS, UMR 6061, IFR 140,Fac Med, F-35043 Rennes, France
CHU Rennes, Dept Biochem & Mol Genet, Med Genom Unit, Rennes, FranceAgrocampus Rennes, UMR 6625, Lab Math Appl, CNRS, Rennes, France
de Tayrac, Marie
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Le, Sebastien
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Agrocampus Rennes, UMR 6625, Lab Math Appl, CNRS, Rennes, FranceAgrocampus Rennes, UMR 6625, Lab Math Appl, CNRS, Rennes, France
Le, Sebastien
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Aubry, Marc
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Ouest Genopole, IFR 140, Transcript Platform, Rennes, FranceAgrocampus Rennes, UMR 6625, Lab Math Appl, CNRS, Rennes, France
Aubry, Marc
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Mosser, Jean
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Husson, Francois
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Agrocampus Rennes, UMR 6625, Lab Math Appl, CNRS, Rennes, FranceAgrocampus Rennes, UMR 6625, Lab Math Appl, CNRS, Rennes, France
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Univ Calif Berkeley, Dept Stat, Berkeley, CA 94720 USAUniv Calif Berkeley, Dept Stat, Berkeley, CA 94720 USA
Huang, Haiyan
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Liu, Chun-Chi
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Univ So Calif, Program Mol & Computat Biol, Los Angeles, CA 90089 USA
Natl Chung Hsing Univ, Inst Genom & Bioinformat, Taichung, TaiwanUniv Calif Berkeley, Dept Stat, Berkeley, CA 94720 USA
Liu, Chun-Chi
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Zhou, Xianghong Jasmine
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Univ So Calif, Program Mol & Computat Biol, Los Angeles, CA 90089 USAUniv Calif Berkeley, Dept Stat, Berkeley, CA 94720 USA
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Univ Rennes 1, CNRS, UMR 6061, IFR 140,Fac Med, F-35043 Rennes, France
CHU Rennes, Dept Biochem & Mol Genet, Med Genom Unit, Rennes, FranceAgrocampus Rennes, UMR 6625, Lab Math Appl, CNRS, Rennes, France
de Tayrac, Marie
;
Le, Sebastien
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Agrocampus Rennes, UMR 6625, Lab Math Appl, CNRS, Rennes, FranceAgrocampus Rennes, UMR 6625, Lab Math Appl, CNRS, Rennes, France
Le, Sebastien
;
Aubry, Marc
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Ouest Genopole, IFR 140, Transcript Platform, Rennes, FranceAgrocampus Rennes, UMR 6625, Lab Math Appl, CNRS, Rennes, France
Aubry, Marc
;
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Mosser, Jean
;
Husson, Francois
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Agrocampus Rennes, UMR 6625, Lab Math Appl, CNRS, Rennes, FranceAgrocampus Rennes, UMR 6625, Lab Math Appl, CNRS, Rennes, France
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Univ Calif Berkeley, Dept Stat, Berkeley, CA 94720 USAUniv Calif Berkeley, Dept Stat, Berkeley, CA 94720 USA
Huang, Haiyan
;
Liu, Chun-Chi
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Univ So Calif, Program Mol & Computat Biol, Los Angeles, CA 90089 USA
Natl Chung Hsing Univ, Inst Genom & Bioinformat, Taichung, TaiwanUniv Calif Berkeley, Dept Stat, Berkeley, CA 94720 USA
Liu, Chun-Chi
;
Zhou, Xianghong Jasmine
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Univ So Calif, Program Mol & Computat Biol, Los Angeles, CA 90089 USAUniv Calif Berkeley, Dept Stat, Berkeley, CA 94720 USA